Cargando…
Tourism Demand Forecast Based on Adaptive Neural Network Technology in Business Intelligence
In order to improve the effect of tourism demand forecast, the commercial development of the tourism industry, and the actual experience of users, this paper uses adaptive neural network technology to conduct tourism demand forecast analysis. Moreover, this paper improves the adaptive neural network...
Autor principal: | Wang, Liangliang |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8789447/ https://www.ncbi.nlm.nih.gov/pubmed/35087579 http://dx.doi.org/10.1155/2022/3376296 |
Ejemplares similares
-
Knowledge mapping of tourism demand forecasting research
por: Zhang, Chengyuan, et al.
Publicado: (2020) -
Forecasting Oil Demand with the Development of Comprehensive Tourism
por: Huang, Yanrong, et al.
Publicado: (2021) -
Hybrid intelligent technologies in energy demand forecasting
por: Hong, Wei-Chiang
Publicado: (2020) -
Dynamic Resource Allocation and Forecast of Snow Tourism Demand Based on Multiobjective Optimization Algorithm
por: Feng, Mingfen, et al.
Publicado: (2022) -
Interpretable tourism demand forecasting with temporal fusion transformers amid COVID-19
por: Wu, Binrong, et al.
Publicado: (2022)